{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6e39f08d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8aa4060a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('test1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b29b24e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TxEventDate</th>\n",
       "      <th>Month</th>\n",
       "      <th>AccountAge</th>\n",
       "      <th>GsmIsFraud</th>\n",
       "      <th>RiskModelAdapScore</th>\n",
       "      <th>RiskModelScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2/15/21 18:51</td>\n",
       "      <td>2021-02</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9300</td>\n",
       "      <td>6722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/23/21 9:01</td>\n",
       "      <td>2021-01</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9543</td>\n",
       "      <td>7485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/6/21 15:46</td>\n",
       "      <td>2021-03</td>\n",
       "      <td>215</td>\n",
       "      <td>1</td>\n",
       "      <td>8023</td>\n",
       "      <td>7691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/20/21 23:48</td>\n",
       "      <td>2021-03</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8893</td>\n",
       "      <td>7139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5/1/21 13:10</td>\n",
       "      <td>2021-05</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>8655</td>\n",
       "      <td>9252</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     TxEventDate    Month  AccountAge  GsmIsFraud  RiskModelAdapScore  \\\n",
       "0  2/15/21 18:51  2021-02           0           1                9300   \n",
       "1   1/23/21 9:01  2021-01           0           1                9543   \n",
       "2   3/6/21 15:46  2021-03         215           1                8023   \n",
       "3  3/20/21 23:48  2021-03           0           1                8893   \n",
       "4   5/1/21 13:10  2021-05          -1           1                8655   \n",
       "\n",
       "   RiskModelScore  \n",
       "0            6722  \n",
       "1            7485  \n",
       "2            7691  \n",
       "3            7139  \n",
       "4            9252  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8ebe30d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['TxEventDate'] = pd.to_datetime(df['TxEventDate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1e262d03",
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "def select_month_feature(df, month,feature):\n",
    "    days=[31,28,31,30,31,30,31,31,30,31,30,31]\n",
    "    ddf = df.copy()\n",
    "    ddf['TxEventDate'] = pd.to_datetime(ddf['TxEventDate']).dt.date\n",
    "    if month < 10:\n",
    "        begin = pd.to_datetime('2021-0%d-%d'%(month,days[month-1]))\n",
    "        end = pd.to_datetime('2021-0%d-%d'%(month,days[month-1]))\n",
    "    else:\n",
    "        begin = pd.to_datetime('2021-%d-%d'%(month,days[month-1]))\n",
    "        end = pd.to_datetime('2021-%d-%d'%(month,days[month-1]))\n",
    "   \n",
    "    return ddf[(ddf.TxEventDate>=begin)&(ddf.TxEventDate<=end)][['TxEventDate',feature]]\n",
    "   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4e2ee4e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['AccountAge', 'GsmIsFraud','RiskModelAdapScore','RiskModelScore']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0692c1ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Month 1 Feature AccountAge\n",
      "--------------------------------------------------------------------------------\n",
      "        AccountAge\n",
      "count  2435.000000\n",
      "mean     67.413963\n",
      "std     391.479877\n",
      "min      -1.000000\n",
      "25%       0.000000\n",
      "50%       0.000000\n",
      "75%       8.000000\n",
      "max    7329.000000\n",
      "Month 1 Feature GsmIsFraud\n",
      "--------------------------------------------------------------------------------\n",
      "        GsmIsFraud\n",
      "count  2435.000000\n",
      "mean      0.995893\n",
      "std       0.063966\n",
      "min       0.000000\n",
      "25%       1.000000\n",
      "50%       1.000000\n",
      "75%       1.000000\n",
      "max       1.000000\n",
      "Month 1 Feature RiskModelAdapScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelAdapScore\n",
      "count         2435.000000\n",
      "mean          9444.720329\n",
      "std           1119.692320\n",
      "min             37.000000\n",
      "25%           9482.000000\n",
      "50%           9817.000000\n",
      "75%           9870.000000\n",
      "max           9979.000000\n",
      "Month 1 Feature RiskModelScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelScore\n",
      "count     2435.000000\n",
      "mean      8916.338398\n",
      "std       1579.460012\n",
      "min         21.000000\n",
      "25%       8547.500000\n",
      "50%       9654.000000\n",
      "75%       9864.000000\n",
      "max       9977.000000\n",
      "Month 2 Feature AccountAge\n",
      "--------------------------------------------------------------------------------\n",
      "        AccountAge\n",
      "count  2527.000000\n",
      "mean     74.673130\n",
      "std     382.814841\n",
      "min      -1.000000\n",
      "25%       0.000000\n",
      "50%       0.000000\n",
      "75%       4.000000\n",
      "max    8164.000000\n",
      "Month 2 Feature GsmIsFraud\n",
      "--------------------------------------------------------------------------------\n",
      "        GsmIsFraud\n",
      "count  2527.000000\n",
      "mean      0.997626\n",
      "std       0.048679\n",
      "min       0.000000\n",
      "25%       1.000000\n",
      "50%       1.000000\n",
      "75%       1.000000\n",
      "max       1.000000\n",
      "Month 2 Feature RiskModelAdapScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelAdapScore\n",
      "count         2527.000000\n",
      "mean          9312.775228\n",
      "std           1368.394448\n",
      "min             25.000000\n",
      "25%           9383.500000\n",
      "50%           9839.000000\n",
      "75%           9886.000000\n",
      "max           9970.000000\n",
      "Month 2 Feature RiskModelScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelScore\n",
      "count     2527.000000\n",
      "mean      8931.802533\n",
      "std       1724.432290\n",
      "min          9.000000\n",
      "25%       8703.500000\n",
      "50%       9727.000000\n",
      "75%       9888.000000\n",
      "max       9986.000000\n",
      "Month 3 Feature AccountAge\n",
      "--------------------------------------------------------------------------------\n",
      "        AccountAge\n",
      "count  2988.000000\n",
      "mean     80.606426\n",
      "std     403.361077\n",
      "min      -1.000000\n",
      "25%       0.000000\n",
      "50%       0.000000\n",
      "75%       2.000000\n",
      "max    6349.000000\n",
      "Month 3 Feature GsmIsFraud\n",
      "--------------------------------------------------------------------------------\n",
      "        GsmIsFraud\n",
      "count  2988.000000\n",
      "mean      0.997657\n",
      "std       0.048353\n",
      "min       0.000000\n",
      "25%       1.000000\n",
      "50%       1.000000\n",
      "75%       1.000000\n",
      "max       1.000000\n",
      "Month 3 Feature RiskModelAdapScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelAdapScore\n",
      "count         2988.000000\n",
      "mean          9339.025770\n",
      "std           1404.524193\n",
      "min             27.000000\n",
      "25%           9422.000000\n",
      "50%           9830.000000\n",
      "75%           9884.000000\n",
      "max           9959.000000\n",
      "Month 3 Feature RiskModelScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelScore\n",
      "count     2988.000000\n",
      "mean      8885.455489\n",
      "std       1708.401348\n",
      "min         -1.000000\n",
      "25%       8520.500000\n",
      "50%       9666.500000\n",
      "75%       9891.000000\n",
      "max       9973.000000\n",
      "Month 4 Feature AccountAge\n",
      "--------------------------------------------------------------------------------\n",
      "        AccountAge\n",
      "count  2785.000000\n",
      "mean     80.621544\n",
      "std     392.216057\n",
      "min      -1.000000\n",
      "25%       0.000000\n",
      "50%       0.000000\n",
      "75%       2.000000\n",
      "max    7322.000000\n",
      "Month 4 Feature GsmIsFraud\n",
      "--------------------------------------------------------------------------------\n",
      "        GsmIsFraud\n",
      "count  2785.000000\n",
      "mean      0.983842\n",
      "std       0.126106\n",
      "min       0.000000\n",
      "25%       1.000000\n",
      "50%       1.000000\n",
      "75%       1.000000\n",
      "max       1.000000\n",
      "Month 4 Feature RiskModelAdapScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelAdapScore\n",
      "count         2785.000000\n",
      "mean          9113.558707\n",
      "std           1636.505746\n",
      "min             14.000000\n",
      "25%           9329.000000\n",
      "50%           9699.000000\n",
      "75%           9823.000000\n",
      "max           9954.000000\n",
      "Month 4 Feature RiskModelScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelScore\n",
      "count     2785.000000\n",
      "mean      9103.245601\n",
      "std       1644.698263\n",
      "min          9.000000\n",
      "25%       9228.000000\n",
      "50%       9684.000000\n",
      "75%       9861.000000\n",
      "max       9970.000000\n",
      "Month 5 Feature AccountAge\n",
      "--------------------------------------------------------------------------------\n",
      "        AccountAge\n",
      "count  4304.000000\n",
      "mean     78.650790\n",
      "std     281.504424\n",
      "min      -1.000000\n",
      "25%       0.000000\n",
      "50%       0.000000\n",
      "75%       5.000000\n",
      "max    6480.000000\n",
      "Month 5 Feature GsmIsFraud\n",
      "--------------------------------------------------------------------------------\n",
      "        GsmIsFraud\n",
      "count  4304.000000\n",
      "mean      0.989777\n",
      "std       0.100603\n",
      "min       0.000000\n",
      "25%       1.000000\n",
      "50%       1.000000\n",
      "75%       1.000000\n",
      "max       1.000000\n",
      "Month 5 Feature RiskModelAdapScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelAdapScore\n",
      "count         4304.000000\n",
      "mean          9034.750697\n",
      "std           1443.754990\n",
      "min             -1.000000\n",
      "25%           8765.750000\n",
      "50%           9685.000000\n",
      "75%           9867.000000\n",
      "max           9987.000000\n",
      "Month 5 Feature RiskModelScore\n",
      "--------------------------------------------------------------------------------\n",
      "       RiskModelScore\n",
      "count     4304.000000\n",
      "mean      9075.849442\n",
      "std       1266.270986\n",
      "min         21.000000\n",
      "25%       8781.750000\n",
      "50%       9536.500000\n",
      "75%       9786.000000\n",
      "max       9984.000000\n"
     ]
    }
   ],
   "source": [
    "#1-5月份的每个feature的信息\n",
    "for mon in range(1,6):\n",
    "    for fea in features:\n",
    "        print('Month %d Feature %s'%(mon, fea))\n",
    "        print('-'*80)\n",
    "        print(select_month_feature(df,mon,fea).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b9e0a208",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def dist_plot(df,month, feature, name):\n",
    "\n",
    "    mon_df = select_month_feature(df,month,feature)[feature]\n",
    "    mon_df.plot(kind='hist')\n",
    "    plt.savefig(name+'.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c96b245",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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S80k3us3MrJ8qbWFsCtwh6QbguVpiRBzYlFKZmVnbKQ0YM5pZCDMza3+lj9X+RtKWwLiIuFbS+sCA5hbNzMzaSenw5h8GLgVOz0kjgSuaVCYzM2tDpTe9jwbeDCyHl1+mtFmzCmVmZu2nNGA8FxHP1xYkDST9DsPMzPqJ0oDxG0knAevld3lfAlzVvGKZmVm7KQ0YJwDLgNuAjwCzSe/3NjOzfqL0Kal/Av+TJzMz64dKx5K6lwb3LCJiq24vkZmZtaVXM5ZUzSDgPcDQ7i+OmZm1q6J7GBHxWGVaGhHfAfZvbtHMzKydlHZJTagsrkVqcbyad2mYmVkvV/qh/83K/IvAfcAh3V4aMzNrW6VPSe3Z7IKYmVl7K+2S+lRn6yPiW91THDMza1elP9ybBHyMNOjgSOCjwARgozy9gqSzJD0iaX4lbaikayTdnf8OyemSdKqkhZJurd4zkTQt579b0rTVq6aZma2p0oCxBTAhIo6PiOOBicDoiPhCRHyhg23OBvapSzsBuC4ixgHX5WWAfYFxeZoOnAYpwAAnA7sCuwAn14KMmZn1rNKAMRx4vrL8fE7rUET8Fni8Lvkg4Jw8fw5wcCX93EiuBwZLGgHsDVwTEY9HxBPANbwyCJmZWQ8ofUrqXOAGSZfn5YNZ+cH/agyPiAfz/EOsDDojgcWVfEtY2f3VKP0VJE0ntU4YPXr0ahTNzMw6U/rDvS8DRwJP5OnIiPjKmhw4IoJuHCI9Is6IiEkRMWnYsGHdtVszM8tKu6QA1geWR8R3gSWSxq7G8R7OXU3kv4/k9KXAqEq+LXJaR+lmZtbDSl/RejLwWeDEnLQ28JPVON4soPak0zTgykr64flpqd2Ap3LX1RxgiqQh+Wb3lJxmZmY9rPQexjuBNwI3A0TEA5IaPk5bI+lCYDKwqaQlpKedTgFmSjoKWMTKX4vPBvYDFgLPkrq/iIjHJX0JmJfzfTEi6m+km5lZDygNGM9HREgKAEkbdLVBREztYNVeDfIG6b3hjfZzFnBWYTnNzKxJSu9hzJR0Oulx1w8D1+KXKZmZ9StdtjAkCbgY2BZYDmwDfD4irmly2czMrI10GTByV9TsiHgD6YdzZmbWD5V2Sd0saeemlsTMzNpa6U3vXYH3S7oPeAYQqfGxY7MKZmZm7aXTgCFpdETcTxrTyczM+rGuWhhXkEapXSTpsoj49x4ok5mZtaGu7mGoMr9VMwtiZmbtrauAER3Mm5lZP9NVl9ROkpaTWhrr5XlYedP7NU0tnZmZtY1OA0ZEDOipgpiZWXt7NcObm5lZP+aAYWZmRRwwzMysiAOGmZkVccAwM7MiDhhmZlbEAcPMzIo4YJiZWREHDDMzK+KAYWZmRRwwzMysiAOGmZkVccAwM7MiDhhmZlbEAcPMzIo4YJiZWREHDDMzK+KAYWZmRRwwzMysiAOGmZkVccAwM7MiDhhmZlbEAcPMzIo4YJiZWREHDDMzK+KAYWZmRRwwzMysiAOGmZkVaUnAkHSfpNsk3SLpxpw2VNI1ku7Of4fkdEk6VdJCSbdKmtCKMpuZ9XetbGHsGRHjI2JSXj4BuC4ixgHX5WWAfYFxeZoOnNbjJTUzs7bqkjoIOCfPnwMcXEk/N5LrgcGSRrSgfGZm/VqrAkYAv5R0k6TpOW14RDyY5x8Chuf5kcDiyrZLcpqZmfWggS067lsiYqmkzYBrJN1VXRkRISlezQ5z4JkOMHr06O4rqZmZAS1qYUTE0vz3EeByYBfg4VpXU/77SM6+FBhV2XyLnFa/zzMiYlJETBo2bFgzi29m1i/1eMCQtIGkjWrzwBRgPjALmJazTQOuzPOzgMPz01K7AU9Vuq7MzKyHtKJLajhwuaTa8S+IiF9ImgfMlHQUsAg4JOefDewHLASeBY7s+SKbmVmPB4yIuAfYqUH6Y8BeDdIDOLoHimZmZp1op8dqzcysjTlgmJlZEQcMMzMr4oBhZmZFHDDMzKyIA4aZmRVxwDAzsyIOGGZmVsQBw8zMijhgmJlZEQcMMzMr4oBhZmZFHDDMzKyIA4aZmRVxwDAzsyIOGGZmVsQBw8zMijhgmJlZEQcMMzMr4oBhZmZFHDDMzKyIA4aZmRVxwDAzsyIOGGZmVsQBw8zMijhgmJlZkYGtLoCZWbOMOeFnrS5Cn+IWhpmZFXHAMDOzIg4YZmZWxAHDzMyKOGCYmVkRBwwzMyvigGFmZkUcMMzMrIh/uGdmTecf0PUNbmGYmVkRBwwzMyvigGFmZkV8D8Osn/B9BFtTvaaFIWkfSQskLZR0QqvLY2bW3/SKFoakAcD3gbcDS4B5kmZFxB3NOF6rvondd8r+LTluf+Rv22avXq8IGMAuwMKIuAdA0kXAQUBTAkar+EPMzNpZbwkYI4HFleUlwK7VDJKmA9Pz4tOSFqzmsTYFHl3NbXsr17n/6I/17ld11teA1a/zlp2t7C0Bo0sRcQZwxpruR9KNETGpG4rUa7jO/Ud/rLfr3H16y03vpcCoyvIWOc3MzHpIbwkY84BxksZKWgc4FJjV4jKZmfUrvaJLKiJelPQJYA4wADgrIm5v0uHWuFurF3Kd+4/+WG/XuZsoIpqxXzMz62N6S5eUmZm1mAOGmZkVccDI+tLQI5JGSfqVpDsk3S7p2Jw+VNI1ku7Of4fkdEk6Ndf9VkkTKvualvPfLWlaq+pUStIASX+WdHVeHitpbq7bxfmhCSStm5cX5vVjKvs4MacvkLR3i6pSTNJgSZdKukvSnZJ27+vXWtJ/5H/b8yVdKGlQX7vWks6S9Iik+ZW0bruukiZKui1vc6okdVmoiOj3E+lG+t+ArYB1gL8A27W6XGtQnxHAhDy/EfBXYDvg68AJOf0E4Gt5fj/g54CA3YC5OX0ocE/+OyTPD2l1/bqo+6eAC4Cr8/JM4NA8/0PgY3n+48AP8/yhwMV5frt8/dcFxuZ/FwNaXa8u6nwO8KE8vw4wuC9fa9IPee8F1qtc4yP62rUG3gpMAOZX0rrtugI35LzK2+7bZZlafVLaYQJ2B+ZUlk8ETmx1ubqxfleSxuFaAIzIaSOABXn+dGBqJf+CvH4qcHolfZV87TaRfp9zHfA24Or8H+FRYGD9dSY9cbd7nh+Y86n+2lfzteMEbJw/PFWX3mevNStHfhiar93VwN598VoDY+oCRrdc17zurkr6Kvk6mtwllTQaemRki8rSrXLz+43AXGB4RDyYVz0EDM/zHdW/t52X7wCfAf6ZlzcBnoyIF/Nytfwv1y2vfyrn7211HgssA36cu+LOlLQBffhaR8RS4P8B9wMPkq7dTfT9aw3dd11H5vn69E45YPRhkjYELgOOi4jl1XWRvlb0mWeqJb0DeCQibmp1WXrYQFK3xWkR8UbgGVJXxcv64LUeQhp8dCywObABsE9LC9UCrbiuDhhJnxt6RNLapGBxfkT8NCc/LGlEXj8CeCSnd1T/3nRe3gwcKOk+4CJSt9R3gcGSaj9QrZb/5brl9RsDj9G76gzpm+GSiJibly8lBZC+fK3/Dbg3IpZFxAvAT0nXv69fa+i+67o0z9end8oBI+lTQ4/kpx1+BNwZEd+qrJoF1J6SmEa6t1FLPzw/abEb8FRu9s4Bpkgakr/VTclpbSciToyILSJiDOn6/f+IOAz4FfDunK2+zrVz8e6cP3L6ofnJmrHAONLNwbYUEQ8BiyVtk5P2Ig3732evNakrajdJ6+d/67U69+lrnXXLdc3rlkvaLZ/Dwyv76lirb+q0y0R6yuCvpCcl/qvV5VnDuryF1FS9FbglT/uR+m2vA+4GrgWG5vwivaDqb8BtwKTKvj4ILMzTka2uW2H9J7PyKamtSB8CC4FLgHVz+qC8vDCv36qy/X/lc7GAgidHWj0B44Eb8/W+gvQ0TJ++1sAXgLuA+cB5pCed+tS1Bi4k3aN5gdSSPKo7ryswKZ+/vwHfo+7BiUaThwYxM7Mi7pIyM7MiDhhmZlbEAcPMzIo4YJiZWREHDDMzK+KAYT1G0kuSbskjjF4laXBO31zSpZ1sN6Y6YmclfbKkkPShStr4nPbpV1GuhvvvKo+k70haKqnD/0eSni4tR4Nt35GH+/iL0sjDH1ndfTWbpPskbdrqclhzOWBYT1oREeMjYgfgceBogIh4ICLe3fmmHZoPHFJZnkoagbSpcpB4J2mcnn9twv7XJr1m84CI2Ik0Htiv13Cf6iy4mXXF/3isVf5EHuys+u1d0vaSbsgtkVsljatuJGmr/K1755y0CBgkaXj+xeo+pKGaa/nHS7o+7+tyrXx/wMT8zf0v5MCV0wdI+oakeXmbjr7VTwZuB04jBana9mMl/UnpPQP/t5K+oaTrJN2c1x1Uqftdks5XepfFpZLWJw1LP5A0hAUR8VxELMjbDM91+Uue3pTTP5Vbb/MlHVfZ/wJJ55KC6yhJ/1mp3xfqKybpo5K+UVk+QtL38vwVkm5SehfF9AbbrtISk/RpSTPy/NaSfpG3/52kbTs4t9amHDCsx0kaQBrOodHwKx8FvhsR40m/RF1S2W4b0vhYR0TEvMo2lwLvAd4E3Aw8V1l3LvDZiNiR9AvYk3P6j4FP5m/vVUeRhlXYGdgZ+LDSsBH1ppJ+iXs5sH9uEUAav+q0iHgD6Ve6Nf8A3hkRE4A9gW/mAAewDfCDiHg9sBz4eEQ8ns/PIqUXBB1WaR2cCvwml30CcLukicCRwK6kdxx8WNIbc/5xef/b52ONA3Yh/UJ8oqS31tXtMlLrqea9pPG5AD4YERNJ1+YYSZs0ODcdOYN0zicCnwZ+8Cq2tTbggGE9aT1Jt7ByWOZrGuT5E3CSpM8CW0bEipw+jDTWzWERUd/lNJMUMGof4gBI2hgYHBG/yUnnAG9VuncyOCJ+m9PPq+xrCmlMnltIQ8JvQvqAfZnSeGP7AVdEGgV4Lul9DJAGwauVobpfAV+RdCtpSIeRrByaenFE/CHP/4Q0tAsR8SFSYL2B9AF7Vs7zNlLLhoh4KSKeyttcHhHPRMTTpAH59sj5F0XE9ZX6TQH+TAqu29bXLyKWAfcojTO0Sc5TK98xuVV2PWlQu1W27YjSyMlvAi7J5/Z00jsZrBcZ2HUWs26zIiLG5y6XOaSuoFOrGSLiAklzgf2B2blL6B7SOwzuJ30w3lG3zUOSXiC9JOpY0gfT6hLpW/AqA++p8lpPUnAYDNyWGwnrAytIL/KBxkNOH0YKehMj4gWlUXUHdZD/5eWIuC0f5zzSi5KOeLUVIg15XiPgqxFxehfbXES6N3QXKRCFpMmkkWJ3j4hnJf26UoeaF1n1i2ht/Vqk91WMX43yW5twC8N6XEQ8CxwDHK+Vw1ED6R4FcE9EnEpqUeyYVz1P6iY5XNL7Guz286Sup5cqx3kKeEJS7Zv2B0hdOU8CT0p6S04/rLKfOcDHal1Mkl6n9EKiqqmkV6KOiTQ67ljg7TkQ/oE0Wm79fjcmva/jBUl7AltW1o2WtHuefx/w+3zPY3Ilz3jS/RpIg899LJdvQG5J/Q44WGkE1w3yufpdg/M0B/hg/saPpJGSNmuQ73LSOyemsrI7amPgiRwstiV1fdV7GNhM0iaS1gXeAZBbYvdKek8+riTVdwdam3PAsJaIiD+TRledWrfqEGB+7rbYgXQPorbNM6QPoP+QdGDd/v4YEVc0ONQ04Bu5K2g88MWcfiTw/XwcVfKfSWrB3Jxv3p5OpSWeg8I+wM/qyvV74ABSC+doSbex6hvMzgcm5fTDSd/caxbkbe4kjTR7Wi7TZ/IN61tIo7MekfMfC+yZ93UT6f3zNwNnk7qv5gJn5nO8ioj4Jemd53/K219KusFen+8J4E5St2BtyO9fAANzOU8hdUvVb/cC6RzfQOpyrNbzMOCo3KV1OykgWS/i0WrNWih3dV2dHzU2a2tuYZiZWRG3MMzMrIhbGGZmVsQBw8zMijhgmJlZEQcMMzMr4oBhZmZF/hd8TVRRPcOsEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(1,6):\n",
    "    for fea in features:\n",
    "        plt.figure()\n",
    "        plt.title(\"month \"+str(i)+\" \"+fea)\n",
    "        plt.xlabel(fea+' value')\n",
    "        dist_plot(df,i, fea,'month_'+str(i)+'_'+fea)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cfe2add5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d6499f4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "begin_train = pd.to_datetime('2021-01-01')\n",
    "end_train = pd.to_datetime('2021-03-31')\n",
    "train = df[(df.TxEventDate >= begin_train)&(df.TxEventDate<=end_train)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "86f4dd09",
   "metadata": {},
   "outputs": [],
   "source": [
    "begin_test = pd.to_datetime('2021-04-01')\n",
    "end_test = pd.to_datetime('2021-05-31')\n",
    "test = df[(df.TxEventDate >= begin_test)&(df.TxEventDate<=end_test)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "535fa921",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_RiskModelScore = test[['TxEventDate','RiskModelScore']].set_index('TxEventDate').dropna()\n",
    "test_AccountAge = test[['TxEventDate','AccountAge']].set_index('TxEventDate').dropna()\n",
    "test_GsmIsFraud = test[['TxEventDate','GsmIsFraud']].set_index('TxEventDate').dropna()\n",
    "test_RiskModelAdapScore = test[['TxEventDate','RiskModelAdapScore']].set_index('TxEventDate').dropna()\n",
    "test_df_RiskModelScore = test_RiskModelScore.resample('d').mean()\n",
    "test_df_AccountAge = test_AccountAge.resample('d').mean()\n",
    "test_df_GsmIsFraud = test_GsmIsFraud.resample('d').mean()\n",
    "test_df_RiskModelAdapScore = test_RiskModelAdapScore.resample('d').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8567221c",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_RiskModelScore = train[['TxEventDate','RiskModelScore']].set_index('TxEventDate').dropna()\n",
    "train_AccountAge = train[['TxEventDate','AccountAge']].set_index('TxEventDate').dropna()\n",
    "train_GsmIsFraud = train[['TxEventDate','GsmIsFraud']].set_index('TxEventDate').dropna()\n",
    "train_RiskModelAdapScore = train[['TxEventDate','RiskModelAdapScore']].set_index('TxEventDate').dropna()\n",
    "train_df_RiskModelScore = train_RiskModelScore.resample('d').mean()\n",
    "train_df_AccountAge = train_AccountAge.resample('d').mean()\n",
    "train_df_GsmIsFraud = train_GsmIsFraud.resample('d').mean()\n",
    "train_df_RiskModelAdapScore = train_RiskModelAdapScore.resample('d').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2fa51f82",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\base\\model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "sarimax_RiskModelScore = sm.tsa.statespace.SARIMAX(train_df_RiskModelScore,order=(7, 1, 2),seasonal_order=(0, 1, 2, 7)).fit(disp=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c962c08d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\base\\model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "sarimax_AccountAge = sm.tsa.statespace.SARIMAX(train_df_AccountAge,order=(7, 1, 2),seasonal_order=(0, 1, 2, 7)).fit(disp=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d298e046",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\base\\model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "sarimax_GsmIsFraud = sm.tsa.statespace.SARIMAX(train_df_GsmIsFraud,order=(7, 1, 2),seasonal_order=(0, 1, 2, 7)).fit(disp=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "71a7c93d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\tsa\\statespace\\sarimax.py:1009: UserWarning: Non-invertible starting seasonal moving average Using zeros as starting parameters.\n",
      "  warn('Non-invertible starting seasonal moving average'\n",
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\base\\model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "sarimax_RiskModelAdapScore = sm.tsa.statespace.SARIMAX(train_df_RiskModelAdapScore,order=(7, 1, 2),seasonal_order=(0, 1, 2, 7)).fit(disp=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f3eb59f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\tsa\\statespace\\kalman_filter.py:2292: ValueWarning: Dynamic prediction specified to begin during out-of-sample forecasting period, and so has no effect.\n",
      "  ' effect.', ValueWarning)\n",
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\tsa\\statespace\\kalman_filter.py:2292: ValueWarning: Dynamic prediction specified to begin during out-of-sample forecasting period, and so has no effect.\n",
      "  ' effect.', ValueWarning)\n",
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\tsa\\statespace\\kalman_filter.py:2292: ValueWarning: Dynamic prediction specified to begin during out-of-sample forecasting period, and so has no effect.\n",
      "  ' effect.', ValueWarning)\n",
      "f:\\gpu-keras\\gpu\\lib\\site-packages\\statsmodels\\tsa\\statespace\\kalman_filter.py:2292: ValueWarning: Dynamic prediction specified to begin during out-of-sample forecasting period, and so has no effect.\n",
      "  ' effect.', ValueWarning)\n"
     ]
    }
   ],
   "source": [
    "pred_RiskModelScore = sarimax_RiskModelScore.predict(start=\"2021-04-01\", end=\"2021-05-31\", dynamic=True)\n",
    "pred_AccountAge = sarimax_AccountAge.predict(start=\"2021-04-01\", end=\"2021-05-31\", dynamic=True)\n",
    "pred_GsmIsFraud = sarimax_GsmIsFraud.predict(start=\"2021-04-01\", end=\"2021-05-31\", dynamic=True)\n",
    "pred_RiskModelAdapScore = sarimax_RiskModelAdapScore.predict(start=\"2021-04-01\", end=\"2021-05-31\", dynamic=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "87e5498b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title('RiskModelScore')\n",
    "ax=pred_RiskModelScore.plot(legend='test')\n",
    "test_df_RiskModelScore.plot(legend='pred',ax=ax)\n",
    "plt.savefig('RiskModelScore.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3a6d113b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title('AccountAge')\n",
    "ax=pred_AccountAge.plot(legend='test')\n",
    "test_df_AccountAge.plot(legend='pred',ax=ax)\n",
    "plt.savefig('AccountAge.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4137285c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title('GsmIsFraud')\n",
    "ax=pred_GsmIsFraud.plot(legend='test')\n",
    "test_df_GsmIsFraud.plot(legend='pred',ax=ax)\n",
    "plt.savefig('GsmIsFraud.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ee5062e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title('RiskModelAdapScore')\n",
    "ax=pred_RiskModelAdapScore.plot(legend='test')\n",
    "test_df_RiskModelAdapScore.plot(legend='pred',ax=ax)\n",
    "plt.savefig('RiskModelAdapScore.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3451123",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
